Staff Product Security Engineer

My 13-year journey spans the entire systems spectrum, evolving from low-level runtimes to massive, high-throughput distributed infrastructure.

I started my career engineering distributed payment transaction servers for a rural payment gateway, where I had to ensure absolute data consistency and fault tolerance across unpredictable networks. I then moved deep into real-time operating systems (RTOS) at GE, mastering client-side data integrity and memory constraints.

I scaled this foundational discipline into extensive, high-traffic distributed architectures: first at Imperva, co-engineering highly concurrent, low-latency SaaS DDoS defense engines using DPDK to process data at line-rate; and most recently at Netskope, architecting cloud-native Data Loss Prevention (DLP) pipelines in Go that handle hundreds of millions of asynchronous events via Redis streams and Kubernetes pods.

What Makes Me Unique Distributed Systems & Security Craftsmanship: I don't treat security like a compliance checklist. Because I deeply understand concurrency, distributed state, and Linux internals in C++ and Go, I build airtight encryption, privacy barriers, and access controls directly into high-traffic architecture without introducing lag.

AI-Native Execution: I operate with a modern velocity multiplier. I design custom AI prompt loops and automated testing agents to relentlessly threat-model complex distributed workflows, catching race conditions and system vulnerabilities at double the speed of a traditional developer.